dtamind-components
Version:
Apps integration for Dtamind. Contain Nodes and Credentials.
89 lines (81 loc) • 3.08 kB
text/typescript
import { BaseCache } from '@langchain/core/caches'
import { ChatBaiduQianfan } from '@langchain/baidu-qianfan'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
class ChatBaiduWenxin_ChatModels implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'ChatBaiduWenxin'
this.name = 'chatBaiduWenxin'
this.version = 2.0
this.type = 'ChatBaiduWenxin'
this.icon = 'baiduwenxin.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around BaiduWenxin Chat Endpoints'
this.baseClasses = [this.type, ...getBaseClasses(ChatBaiduQianfan)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['baiduQianfanApi']
}
this.inputs = [
{
label: 'Cache',
name: 'cache',
type: 'BaseCache',
optional: true
},
{
label: 'Model',
name: 'modelName',
type: 'string',
placeholder: 'ERNIE-Bot-turbo'
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Streaming',
name: 'streaming',
type: 'boolean',
default: true,
optional: true
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const cache = nodeData.inputs?.cache as BaseCache
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as string
const streaming = nodeData.inputs?.streaming as boolean
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const qianfanAccessKey = getCredentialParam('qianfanAccessKey', credentialData, nodeData)
const qianfanSecretKey = getCredentialParam('qianfanSecretKey', credentialData, nodeData)
const obj: Partial<ChatBaiduQianfan> = {
streaming: streaming ?? true,
qianfanAccessKey,
qianfanSecretKey,
modelName,
temperature: temperature ? parseFloat(temperature) : undefined
}
if (cache) obj.cache = cache
const model = new ChatBaiduQianfan(obj)
return model
}
}
module.exports = { nodeClass: ChatBaiduWenxin_ChatModels }